Thermal metallurgical analysis of GMA welded AH36 steel using CFD–FEM framework

Cheon, Jason; Kiran, Degala Venkata; Na, Suck-Joo

doi:10.1016/j.matdes.2015.11.099

Cited by 35 publications

(15 citation statements)

References 33 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…The formation of austenite is a diffusive process, strongly dependent on the heating rate. The beginning and end temperature for austenitic transformation was calculated based on [28]. To calculate the volume fraction of austenite during heating X A , the following linear interpolation was used:…”

Section: Welding Line Symmetry Planementioning

confidence: 99%

See 1 more Smart Citation

CFD-based modelling of phase transformation in laser welded low-carbon steel

Siwek

2021

Weld World

View full text Add to dashboard Cite

This paper presents a numerical model of the laser welding of steel, taking into account the heat and mass flows, as well as thermal effects associated with phase transformations. It was assumed that the heat source is a laser with a symmetrical power distribution of the TEM10 beam in two welding condition variants: a stationary heat source and a source moving at a constant speed along the sample. After reaching the melting temperature, the movement of the liquid phase was forced by the Marangoni effect acting on the surface of the welding pool. For the laser power applied, the surface of the welding pool was assumed to be flat. It was proposed an algorithm for the forecasting of the phase changes during heating and cooling. Diffusive phase transformations during cooling were modelled using Johnson-Mehl-Avrami-Kolmogorov (JMAK) equations. Diffusionless transformations occurring when cooling rates exceed the critical ones were modelled using Koistinen-Marburger (KM) equations. Calculations were made for a rectangular sample welded in air and cooled spontaneously in the atmosphere. The boundary conditions were simulated assuming a constant coefficient of heat exchange and radiation to the environment. The start and end time of the changes occurring in the cooling phase were calculated based on the average cooling rate in the temperature range 800–500°C (v8/5). The model was tested for the test material: S355J2 steel.

show abstract

Section: Welding Line Symmetry Planementioning

confidence: 99%

“…where A c1 and A c3 depend on the heating rate v h [28]. During welding, each HAZ point in its thermal cycle reaches its maximum temperature, which is followed by a cooling stage.…”

Section: Welding Line Symmetry Planementioning

confidence: 99%

CFD-based modelling of phase transformation in laser welded low-carbon steel

Siwek

2021

Weld World

View full text Add to dashboard Cite

show abstract

“…8. From the curves, it can be exhibited five stages in these tensile curves, such as elastic deformation, yield deformation, plastic deformation, necking and fracture respectively [50][51][52][53][54][55][56]. The curves are just like the parabolic shape and there is a rapid increase in the elastic and yield deformation stages.…”

Section: Tensile and Bending Characterizationsmentioning

confidence: 98%

A characterization of laser cleaning painting layer from steel surface based on thermodynamic model

Ding

Wang

et al. 2021

Int J Adv Manuf Technol

View full text Add to dashboard Cite

In this study, the environmentally friendly nanosecond ultraviolet (UV) laser is innovatively employed laser cleaning to remove the painting layer from the AH36 steel substrate. The feasibility of UV laser cleaning the painting layer is innovatively proposed and it has been calculated by the model theoretically, followed by elaborating the prominent interaction mechanism of UV laser exactly. The initial cleaning threshold and completely cleaning threshold are 2 J/cm 2 and 5 J/cm 2 , respectively. Afterwards, the UV laser cleaned surface quality is evaluated by the scanning electron microscopy (SEM), energy dispersive spectroscopy (EDS), optical microscopy (OM) and optical profiler (OP), respectively. The mechanical properties have enhanced dramatically after laser cleaning and characterized by the Vickers hardness tester and universal testing machine. By varying laser fluences (2, 5, 7 J/cm 2 ) during laser cleaning, microstructures registering various sizes of corrugated shaped, craters and ring-shaped could be acquired. In addition, the mechanical properties analysis including rapid melting, quenching and dislocation density effects illustrates that laser cleaning could effectively increase surface microhardness, tensile strength and bending strength. Thus, laser cleaning method has emerged as a favourable means to strip painting layer in lieu of traditional methods for marine industry as well as this study could promote the development of laser cleaning in the field of marine engineering.

show abstract

“…A combined framework of CFD and FE analysis was established by Choen et al (Ref. 53) for metallurgical analysis of a gas metal arc weld. Turner et al (Ref.…”

Section: Cfd Modelmentioning

confidence: 99%

Recent Advances in the Prediction of Weld Residual Stress and Distortion - Part 1

Yang¹

2021

View full text Add to dashboard Cite

Residual stresses and distortions are the result of complex interactions between welding heat input, the material’s high-temperature response, and joint constraint conditions. Both weld residual stress and distortion can significantly impair the performance and reliability of welded structures. In the past two decades, there have been many significant and exciting developments in the prediction and mitigation of weld residual stress and distortion. This paper reviews the recent advances in the prediction of weld residual stress and distortion by focusing on the numerical modeling theory and methods. The prediction methods covered in this paper include a thermo-mechanical-metallurgical method, simplified analysis methods, friction stir welding modeling methods, buckling distortion prediction methods, a welding cloud computational method, integrated manufacturing process modeling, and integrated computational materials engineering (ICME) weld modeling. Remaining challenges and new developments are also discussed to guide future predictions of weld residual stress and distortion.

show abstract

Thermal metallurgical analysis of GMA welded AH36 steel using CFD–FEM framework

Cited by 35 publications

References 33 publications

CFD-based modelling of phase transformation in laser welded low-carbon steel

CFD-based modelling of phase transformation in laser welded low-carbon steel

A characterization of laser cleaning painting layer from steel surface based on thermodynamic model

Recent Advances in the Prediction of Weld Residual Stress and Distortion - Part 1

Contact Info

Product

Resources

About